مجله مدیریت کسب و کار
پیاپی 46 (تابستان1399)

The main purpose of the research is to present a policy model of policy-making in the field of cooperation. This research was mixed in terms of the nature of the data and developmental in terms of purpose. In order to achieve this goal, in the first step, factors and variables were extracted based on theoretical foundations and various internal and external studies through the content content analysis approach. In the second step, the Delphi questionnaire was designed based on the factors and variables identified in the first step, and distributed among experts, and based on the results, the conceptual research model was designed. In the third step, the analysis was performed using confirmatory factor analysis and through smart PLS software. The results show that: policy makers, policy structures and agencies, resources and facilities, environmental factors, evaluation and control, systemic corruption of pressure groups, related stakeholders, and the most important policy pathological factors, the most important pathological factors are cooperative policymaking.

Nowadayes, consumers use consumption as a means of creating self-consept to express their identity in the social environment through the services they consume. For these consumers value cultural and symbolic are more important. The purpose of this study is to extract the main indicators of differentiation in the banking industry in order to present the impact of marketing plans on consumers' self-concept as a model. the qualitative data were collected from interviews with experts and then, for validation of the model, the questionnaire field data was collected from clients of Mellat Bank Tehran branches. The method of data analysis in qualitative part is based on coding and on quantitative part is used some statistical software(SPSS, Lisrel and Smart PLS). The model test shows that the direct effect and power of the relationship between postmodern organization differentiation variables on customer self-concept was calculated 0.552 which is positive and significant. Therefore,with 95% confidence can be said that differentiating postmodern organizations has a significant impact on consumers' self-concept.

The main purpose of the present study is to representing a multi attribute fuzzy AHP and fuzzy DEMATEL approach in order to rank branding effective factors based on grounded theory in the Iranian banking industry. This study is an applied and exploratory one. The snowball method was used to determine the sample size. The statistical sample size was 80 persons. In order to achieve the research objectives, the questions were designed for interview and finally seven categories of structural, behavioral, environmental, processes, output, outcome and effect and sub-components of each were identified. The fuzzy DEMATEL and grounded theory approach was used to analyze the data. The results showed that structural, behavioral and process factors play an important role in branding, and consequence, impact and results are the next priorities that can lead to bank branding. . . . . . . . . . . . . . . . . . .. . .

The present applied research was conducted in 2019 with the aim of examining the effectiveness of the advertising message by emphasizing the national culture of Iran in the home appliance market. This research was among the combined studies that were conducted in two stages: qualitative and quantitative. The statistical population of the study consists of two parts; The first part includes 5 experts who were purposefully selected and their opinions were used. 384 questionnaires were distributed. The validity of the questionnaire was confirmed by the content validity method and its reliability was confirmed by Cronbach's alpha method. In this research, SPSS and PLS software has been used for data analysis. The results show that if the advertising message is based on national culture and tailored to the interests of customers, It makes that advertising message attractive and may create a tendency for people to buy the product. .

Customer persuasion is one of the most important issues in product sales. The principle of commitment and consistency in behavior is one of the important principles in the psychology of influence. Today, the principles of commitment and consistency have come to the attention of nonprofits and businesses. Limited studies have been performed on FITD and LOWBALL techniques, which are the principles of commitment and stability. The purpose of this study is to evaluate the impact of these techniques, which are the constituent elements of customer persuasion on consumer behavior after purchase on the four structures of trust, commitment, satisfaction and customer loyalty. To determine the sample size of the Morgan table and to collect the required data, a questionnaire was distributed among 2,81 customers of selected travel and tourism companies in Kermanshah. SPSS software was used to analyze the data in the descriptive statistics section and to analyze the model through structural equations and Smart Pls software. The results of this study showed that the principles of commitment and stability directly affect the trust, commitment and satisfaction of customers of tourism offices and indirectly have a significant relationship with customer loyalty.

Digital banking and identifying the requirements to move from the current situation to the desired situation require a set of business changes in the areas of activities, processes, capabilities and business models. Digital strategy is a way for banks to be able to adapt to digital transformation and ensure their survival from the opportunities of technology development. Reconstruction of the banking system through the use of new technology-based strategies and migration to digital banking is one of the main concerns of the banking industry. Therefore, in this study, strategic criteria of digital banking implementation were analyzed through separate questionnaires and opinion polls from 10 banking industry experts. The purpose of this study is to use soft operation research approaches, namely, Interpretive Structural Modeling, to structure the relationships between the strategic indicators of digital banking implementation and the application of Fuzzy DEMATEL to identify the strengths and weaknesses of the criteria. The results showed that the “Business Process Strategy” criterion is the basis for the implementation of digital banking and the “Content Strategy” criterion had the highest interaction and dependency with other criteria.

Competitiveness level in world countries is one of significant factors, which considers many of macro and microeconomic variables. This index plays a vital role in survival of every country and it is considered as a tool for achieving favorable economic growth and sustainable development in any country.Hence, it is essential to study factors creating the proper field for competition between economic agents in order to make companies' activity more competitive in the industry and markets. Therefore, this study was conducted to examine effect of competitiveness on the business environment in selected Islamic countries. In this research, effect of basic requirement indicators, efficiency rise, innovation, government's consumption expenditure, liquidity and exchange rate changes were examined on business environment of 16 Islamic countries during 2000-2017. Panel data method with fixed effects was used to estimate the model. Statistical information associated with collected data were analyzed using Eviews10 Software. Research results showed that basic requirement indicators, efficiency and innovation rise had positive and significant effect on the business environment. recommended to government to provide essential infrastructures and improve the macroeconomic environment and other relevant indicators in order to have a competitive market.

Existing research examines the factors influencing the value chain in terms of how industrial and intermediary goods are delivered in the field of e-commerce and how the model of delivering these (industrial and intermediary) goods in the B2B business area should be Be it. The methodology of this research is mixed exploration method which is divided into two parts: qualitative and quantitative. In the first (qualitative-contingent) part, based on library and field studies and intuitive judgment and researcher experiences, as well as open interviews with industry and university experts, ideas and assumptions about the model emerged that were part of this research. It had a qualitative and contingent aspect. Based on the selective coding method after screening and refining and categorizing the factors, these assumptions were examined through a questionnaire and structured interview by the Canon Group (27 industry and university experts) and the assumptions and components were analyzed. And those that were subscribed were merged and eventually the initial assumptions were extracted. In the second part (quantitative - validation) the primary components extracted from the previous stage and the relationships of the components and the research model were evaluated and validated.

In today's competitive atmosphere of the hospitality industry, increasing hotel capacity is one of the main concerns of managers. The purpose of the research is to identify within the framework of the Resilient Economy Declaration Policies on Enabling Internal Capacities, Dimensions and Components Affecting the Strategic Marketing of Hotels to Increase the Hotel's Potential Capacity in the Face of the Special Economic Conditions of the Sanctions and Eventually, Develops the hotel industry and tourism industry. For this purpose, the basic dimensions of research were designed using qualitative content analysis method. Then the final components is extracted by sending questionnaire for experts , and Delphi method. The statistical population is related to the determinants of resilient economy, scientific and organizational experts. The results show that the components of the resilient economy affecting strategic hotel marketing in this study , are manpower productivity , leadership, cultural fit, structure fit and customer orientation.

For this purpose, in this study, modeling is designed to design a dynamic cement supply chain network to reduce post-crisis shortage. The facilities used in the model of this study are of the two types of temporary and permanent ones that are used to meet the severe demand created after the crisis. Time parameter One of the most important parameters is due to the cavitation of cement products and also the need to meet demand at specified time. In this research, this parameter is modeled in normal and post crisis situations. Disaster victims have a different preference for meeting demand. In addition to modeling this issue, alternative or similar items are also considered. Sustainable planning has been used to make sound decisions because of the demand-side sensitivity. Genetic algorithms, particle swarm optimization, and simulation refrigeration have been used to solve larger-scale models of the algorithm. According to the results, the algorithm is of better quality than the algorithms for different dimensions. Due to the importance of demand forecasting during the planning period in this study, the adaptive fuzzy neural network method is used for forecasting demand which FCM is the best known pattern recognition and adaptability algorithm.

The purpose of this study is investigating the effect of pro-innovation culture and organizational ambidexterity on new product development. This research in terms of paradigm is ultra-positivism that has been done with a quantitative approach. Also this paper is an applied research that in terms of data collection is descriptive_survey. Target population of this study is all managers of sports equipment manufacturer companies, that 69 individuals were selected as the sample members using simple random sampling. In this study two methods of library and field research were used to collect data, that in order to ensure the reliability of the questionnaire, two criteria of cronbach's alpha and composite reliability were used and also convergent validity, divergent validity and content validity were applied to examine its validity. In this research, in order to investigate the relationship between variables and data analysis, the partial least squares method (PLS) and smart-pls software have been used. The results showed that pro-innovation culture had a positive and significant effect on organizational ambidexterity and new product development. The results also showed that organizational ambidexterity including exploration and exploitation capabilities had a positive and significant effect on new product development.

The purpose of this study is to evaluate the value at risk of stock indexes based on parametric and nonparametric approaches in Tehran Stock Exchange. In this regard, the Tehran Stock Exchange (TEPIX) index was used as a representative of market portfolios and daily data for the period 13/10/2009-12/11/2019. In this study, first, the results of estimating the value at risk using two models of exponentially weighted Moving Average (EWMA) and Monte Carlo simulation (MC) are presented. The performance tests of these models are then compared with other models including GARCH and historical simulation models. The estimation results of these models were obtained using Eviews 10 and Matlab 2018 software. The results show that the exponential moving average (EWMA) model is more efficient and more accurate than other models. The results also show that based on violation ratio and Back Tests, non-parametric models such as Monte Carlo simulation have overestimated the value at risk .

The issue of supply chain network design includes strategic decisions that refer to supply chain configuration and as an infrastructure issue in supply chain management, the effects of late footprint on other tactical and operational decisions of the company. In this paper, based on the research needs known in the literature and the empty space available in it, a linear fuzzy number linear programming model is presented for designing a multi-product supply chain network. This model seeks to minimize costs and maximize the amount of worn-out product collected in supply chain. The proposed model has been implemented in Saba Battery Company, which produces various types of batteries. Due to the fact that the proposed model belongs to the NP-hard category, one of the metaheuristic algorithms include multicomponent particle swarm has been used to solve the model, the results of which indicate the location, facility capacity and production rate of products.

Exploring the Influence of Organizational Culture Components on Change Management at Mellat Bank Branches in Kermanshah Township The present study was carried out to exploring the influence of organizational culture components on change management at Mellat Bank Branches in Kermanshah Township. The statistical population of this research was consisted of all personnal in Mellat Bank Branches in Kermanshah Township (N=171). Using Krejci and Morgan (1970) sampling table, 118 of them were selected as the sample using the proportionate stratified sampling method (n=118). The main instrument in this study was questionnaire which its validity was confirmed by the panel of experts and construct validity and its reliability was confirmed by Cronbach's Alpha coefficient and composite reliability. Data were analyzed by SPSSWin23 and SmartPLS3 softwares in two parts of descriptive and inferential statistics. The findings indicated that the current status of change management among personnel of Mellat Bank Branches in Kermanshah Township was above the moderate level.

Literature has been provided on the factors influencing the foreign Food products purchase intention , and each of the scholars in this field has referred to one or more of its dimensions, but so far a comprehensive model of the factors influencing the purchase intention and the relationship between are not provided. The purpose of this study is to identify and interpret the structural analysis of factors affecting customer foreign Food products purchase intention. First, through a systematic review of the literature, a comprehensive set of components related to customer purchase intention was extracted. Then, by analyzing the qualitative content of the components, 13 factors were identified and classified into five levels of the interpretive structural model. Level 5, "Corporate Social Responsibility", " customer’s personality characteristic", Level 4, "Product Features", Level 3, " retailer’s commercial image ", Level 2, " customer knowledge and awareness ", "Social Identity" , "Attitude", "country of origin", "subjective norm", first level, "perceived value", "loyalty", and "perceived behavioral control", "perceived risk", were identified. The contribution of research to producers and marketing managers is to become more familiar with the factors influencing purchase intention and to understand customer preferences in purchasing foreign Food products.

Due to the growing competition in large industries, companies are struggling to attract more customers to their products; but this will not be possible without considering the factors affecting the consumer purchase decision. So, this study investigates the effect of self-congruity on women purchase intention and behavior from luxury brands. The statistical population of this study includes all women in Tehran city who bought luxury brands of clothing in the fall of 1397. For data collection, simple non probability sampling method and a questionnaire tool was used which included 37 indicators. The sample size was considered to be at least 200 people according to Kline's formula. In order to test the collected data, structural equation modeling was used by using Smart PLS software. The results of the research indicate that the hypothesis of the effect of self-congruity on purchase intention has not been approved, but other research hypotheses have been confirmed.

This study discussed the Design and delivery a model for new home business development on the basis of neighborhood oriented approach in the in Tehran Metropolis. This research was an applied study of the purpose and methodologically as qualitative methods. After analyzing the data, 22 components of 615 concept codes were obtained and then classified at five dimensions including, development of business space, increasing of information tecnologhy, neighborhood oriented approach Management, customer relationship, , entrepreneurial leadership. In the second study, the sample size was estimated as 344 people based on Cochran formula and after data collection, the statistical analysis of survey data was performed in two descriptive levels using statistical parameters (such as frequency, percentage, elongation , mean) and inferential statistics (Levin test, t-test), confirmatory factor analysis using Spss 22 , Lisrel8.54 and Excel. Significant coefficients and parameters of factors, development of business space, increasing of information tecnologhy, Neighborhood oriented approach Management, customer relationship, ,